Abstract: Citizens' perception of the city depend on a variety of dynamic and static context factors such as road traffic, the feeling of safety, urban architecture, etc. Such subjective and context-dependent perceptions can trigger different emotions which enable additional insights into spatial and temporal configuration of urban structures. This talk presents the Urban Emotions concept that proposes a human-centred approach for extracting contextual emotion information from human and technical sensors. The methodology consists of four steps: 1) detecting emotions using wristband sensors, 2) “ground-truthing” these measurements using a People as Sensors location-based service, 3) extracting emotion information from crowdsourced data like Twitter, and 4) correlating the measured and extracted emotions. Finally, the emotion information is mapped and fed back into urban planning for decision support and for evaluating ongoing planning processes. Additionally, the talk will cover a number of use cases for real-time urban sensing and extracting information from user-generated data.